Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...

Pole Star Global, a world leader in maritime intelligence and regulatory compliance solutions, today announced the launch of the Maritime Transparency Index (MTI) -- a machine learning-powered risk ...